MUMBAI: multi-person, multimodal board game affect and interaction analysis dataset

[1]  Amedeo Cesta,et al.  Using Emotional Intelligence in Training Crisis Managers: The Pandora Approach , 2013, Int. J. Distance Educ. Technol..

[2]  Saïda Bouakaz,et al.  A novel database of Children's Spontaneous Facial Expressions (LIRIS-CSE) , 2018, Image Vis. Comput..

[3]  Mohamed R. Amer,et al.  The Tower Game Dataset: A multimodal dataset for analyzing social interaction predicates , 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

[4]  Mohamed Chetouani,et al.  GAME-ON: A Multimodal Dataset for Cohesion and Group Analysis , 2020, IEEE Access.

[5]  E. Nickerson,et al.  It's fun—but will it work?: The use of games as a therapeutic medium for children and adolescents , 1980 .

[6]  Jason C. Hung,et al.  The Research of Applying Affective Computing Based on Deep Learning for eSports Training , 2019 .

[7]  Scott E. Hudson,et al.  Combining body pose, gaze, and gesture to determine intention to interact in vision-based interfaces , 2014, CHI.

[8]  Tamás D. Gedeon,et al.  Collecting Large, Richly Annotated Facial-Expression Databases from Movies , 2012, IEEE MultiMedia.

[9]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[10]  Mubarak Shah,et al.  Determining driver visual attention with one camera , 2003, IEEE Trans. Intell. Transp. Syst..

[11]  Pieter Spronck,et al.  Modeling and adjusting in-game difficulty based on facial expression analysis , 2019, Entertain. Comput..

[12]  Albert Ali Salah,et al.  Are You Really Smiling at Me? Spontaneous versus Posed Enjoyment Smiles , 2012, ECCV.

[13]  Cognitive neuroscience: Who to play at poker , 2001, Current Biology.

[14]  Sergio Escalera,et al.  Multimodal First Impression Analysis with Deep Residual Networks , 2018, IEEE Transactions on Affective Computing.

[15]  Yaser Sheikh,et al.  OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  M. Ashton,et al.  The HEXACO–60: A Short Measure of the Major Dimensions of Personality , 2009, Journal of personality assessment.

[17]  Rosalind W. Picard Affective Computing , 1997 .

[18]  Peter I. Cowling,et al.  Predicting Skill Learning in a Large, Longitudinal MOBA Dataset , 2018, 2018 IEEE Conference on Computational Intelligence and Games (CIG).

[19]  Louis-Philippe Morency,et al.  OpenFace 2.0: Facial Behavior Analysis Toolkit , 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

[20]  Sergio Escalera,et al.  Survey on Emotional Body Gesture Recognition , 2018, IEEE Transactions on Affective Computing.

[21]  Jochen Rick,et al.  Collaborative games: Lessons learned from board games , 2006 .

[22]  M. Csíkszentmihályi Flow: The Psychology of Optimal Experience , 1990 .

[23]  Geeks and guests: Estimating player’s level of experience from board game behaviors , 2021, 2021 IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW).

[24]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[25]  Yong Tao,et al.  Compound facial expressions of emotion , 2014, Proceedings of the National Academy of Sciences.

[26]  William H. Press,et al.  Numerical recipes , 1990 .

[27]  W. Press,et al.  Savitzky-Golay Smoothing Filters , 2022 .

[28]  James M. Rehg,et al.  Decoding Children's Social Behavior , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[29]  M. Csíkszentmihályi Flow. The Psychology of Optimal Experience. New York (HarperPerennial) 1990. , 1990 .

[30]  Pieter Desmet,et al.  Measuring Emotion: Development and Application of an Instrument to Measure Emotional Responses to Products , 2005, Funology.

[31]  Nicu Sebe,et al.  Challenges of Human Behavior Understanding , 2010, HBU.

[32]  Andrey Somov,et al.  Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis , 2019, 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

[33]  Ioanna-Ourania Stathopoulou,et al.  Emotion Recognition from Body Movements and Gestures , 2011 .

[34]  Albert Ali Salah,et al.  Video and Text-Based Affect Analysis of Children in Play Therapy , 2019, ICMI.

[35]  Abhinav Dhall,et al.  EmotiW 2019: Automatic Emotion, Engagement and Cohesion Prediction Tasks , 2019, ICMI.

[36]  Mimicry in Social Interaction: Its Effect on learning. , 2012 .

[37]  Nicu Sebe,et al.  Human Behavior Understanding, First International Workshop, HBU 2010, Istanbul, Turkey, August 22, 2010. Proceedings , 2010, International Workshop on Human Behavior Unterstanding.

[38]  Anton Nijholt,et al.  A Multimodal Database for Mimicry Analysis , 2011, ACII.

[39]  Ronald Poppe Automatic Analysis of Bodily Social Signals , 2017, Social Signal Processing.

[40]  Dianhui Wang,et al.  Extreme learning machines: a survey , 2011, Int. J. Mach. Learn. Cybern..

[41]  Hayley Hung,et al.  The idiap wolf corpus: exploring group behaviour in a competitive role-playing game , 2010, ACM Multimedia.

[42]  R. Poppe,et al.  MP-BGAAD: Multi-Person Board Game Affect Analysis Dataset , 2022 .

[43]  Petros Maragos,et al.  Fusing Body Posture With Facial Expressions for Joint Recognition of Affect in Child–Robot Interaction , 2019, IEEE Robotics and Automation Letters.

[44]  Raymond Chiong,et al.  Deep Learning for Human Affect Recognition: Insights and New Developments , 2019, IEEE Transactions on Affective Computing.

[45]  Daniel M. Johnson,et al.  Development and validation of the player experience inventory: A scale to measure player experiences at the level of functional and psychosocial consequences , 2020, Int. J. Hum. Comput. Stud..

[46]  R. Adolphs,et al.  Emotion Perception from Face, Voice, and Touch: Comparisons and Convergence , 2017, Trends in Cognitive Sciences.

[47]  Yiqiang Chen,et al.  Weighted extreme learning machine for imbalance learning , 2013, Neurocomputing.

[48]  Jacob Cohen A Coefficient of Agreement for Nominal Scales , 1960 .

[49]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[50]  Jürgen Schmidhuber,et al.  LSTM: A Search Space Odyssey , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[51]  P. Kleinginna,et al.  A categorized list of emotion definitions, with suggestions for a consensual definition , 1981 .

[52]  J. Wilkinson Feeling an emotion , 1998 .

[53]  Martin Steinert,et al.  Investigating the relationship between mental state (workload and affect) and physiology in a control room setting (ship bridge simulator) , 2019, Cognition, Technology & Work.

[54]  Effie Lai-Chong Law,et al.  Systematic Review and Validation of the Game Experience Questionnaire (GEQ) - Implications for Citation and Reporting Practice , 2018, CHI PLAY.

[55]  G. August,et al.  Processing of emotional information in children with attention‐deficit hyperactivity disorder , 1993 .

[56]  Dieter Frey,et al.  Recent Research on Selective Exposure to Information , 1986, Advances in Experimental Social Psychology.

[57]  Sam Devlin,et al.  Exploration and Skill Acquisition in a Major Online Game , 2017, CogSci.

[58]  Petros Daras,et al.  Multimodal affective state recognition in serious games applications , 2016, 2016 IEEE International Conference on Imaging Systems and Techniques (IST).

[59]  Nicole Fruehauf Flow The Psychology Of Optimal Experience , 2016 .

[60]  Yaser Sheikh,et al.  Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[61]  Gwen Littlewort,et al.  Automated measurement of children's facial expressions during problem solving tasks , 2011, Face and Gesture 2011.

[62]  J. Fleiss Measuring nominal scale agreement among many raters. , 1971 .

[63]  Klaus R. Scherer,et al.  Toward a Working Definition of Emotion , 2012 .

[64]  Andrea Kleinsmith,et al.  Affective Body Expression Perception and Recognition: A Survey , 2013, IEEE Transactions on Affective Computing.

[65]  Peter Robinson,et al.  OpenFace: An open source facial behavior analysis toolkit , 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

[66]  David A. Landgrebe,et al.  A survey of decision tree classifier methodology , 1991, IEEE Trans. Syst. Man Cybern..

[67]  Albert Ali Salah,et al.  Computer Analysis of Human Behavior , 2011 .

[68]  S. Halfon,et al.  Multimodal affect analysis of psychodynamic play therapy , 2020, Psychotherapy research : journal of the Society for Psychotherapy Research.

[69]  R. Gardner The Psychotherapeutic Techniques of Richard A. Gardner , 1986 .

[70]  Stéphane Ayache,et al.  Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos , 2018, ArXiv.

[71]  Katie Salen,et al.  Rules of play: game design fundamentals , 2003 .

[72]  Tom Swanson,et al.  Using an International Gaming Tournament to Study Individual Differences in MOBA Expertise and Cognitive Skills , 2016, CHI.

[73]  Sander Bakkes,et al.  Towards Multi-modal Stress Response Modelling in Competitive League of Legends , 2019, 2019 IEEE Conference on Games (CoG).

[74]  Tony Belpaeme,et al.  The PInSoRo dataset: Supporting the data-driven study of child-child and child-robot social dynamics , 2018, PLoS ONE.

[75]  D. Kort,et al.  D3.3 : Game Experience Questionnaire:development of a self-report measure to assess the psychological impact of digital games , 2007 .

[76]  A. I. Matorin,et al.  Using board games in therapy with children. , 1996 .

[77]  Albert Ali Salah,et al.  Video-based emotion recognition in the wild using deep transfer learning and score fusion , 2017, Image Vis. Comput..